About the Program

  • What are the course objectives?

    Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R, the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau.
     
    Once you have mastered data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies. This expansive learning path will help you excel across the entire spectrum of big data and data science technologies and techniques.

  • What skills will you learn?

    This is an all-inclusive course for big-data and data science enthusiasts. It spans all major technologies in big data, data science and reporting and visualization. This program is designed to maximize your potential at each step, so it is suggested that you follow the learning path as it is recommended to ensure a smooth transition to the end of the program. The learning path is as follows:
     
    Step Training Objective
    1 Data Science with R This course will train you in the R programming language and important statistical and predictive analytics concepts.
    2 Big Data Hadoop and Spark Developer This course enables you to master the various components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark. The course is aligned to Cloudera CCA175 certification.
    3 Tableau Desktop Associate training This course will help you master the various aspects of Tableau Desktop and building visualization, organizing data, and designing dashboards. will prepare you for the Tableau Desktop Qualified Associate certification.
    4 Data Science with Python This training introduces the various packages in Python such as NumPy, SciPy, Pandas, and Scikit-learn for performing data analysis.
    5 Machine Learning The course helps you gain an understanding of Machine Learning applications and algorithms. It also covers deep learning and Spark Machine learning.

  • Why should I take this master’s program?

    As an expert in this field, you will need to have a working knowledge of the three key pillars in the analytics ecosystem: data management, data science and reporting and visualization. This master’s program will hone your skills in:
     
    Big Data
    Big data management is the ability to store and process voluminous amounts of unstructured data. Today with the overflow of online information, most companies are adopting big data practices to manage these huge volumes. Hadoop provides the distributed file system for storage, and MapReduce programming in Java is used for the processing. In the analytics lifecycle, it is critical to be able to store and query data to feed the necessary algorithms.
     
    Data Science
    Data Science algorithms use data to create insights. Once you have an effective way to crunch data, you can use historical data for descriptive and predictive analytics. This is done using a programming language like R or Python, which utilize libraries for statistical analysis. Learning these languages are important to be able to design custom models for analytics, a key expectation for any data scientist. These skills range from basic probability to advanced machine learning.
     
    Reporting and Visualization
    Once you have insights into data, it is important to make the insights available to the organization using visualization and reporting.
     
    This program also includes a number of electives to ensure you get broad knowledge of the entire ecosystem and complementary skills in these fields. The two-year period ensures you have enough time to ramp up, develop skills and apply them in real world scenarios.

  • Who can take this program?

    Many roles can benefit from this program and pursue new career opportunities with high salaries, including:
    • Software developers and testers
    • Software architects
    • Analytics professionals
    • Business analysts
    • Data analysts
    • Data management professionals
    • Data warehouse professionals
    • Project managers
    • Mainframe professionals
    • Graduates aspiring to build a career in analytics

  • How do I earn the Integrated Program in Big Data and Data Science certification?

    Once you have completed all of the courses in the learning path and earned their individual certificates, you will receive the certification for the Integrated Program in Big Data and Data Science from Simplilearn.
     
    You will need to: 

    • Successfully complete the course-end assessments
    • Submit your project and pass the examination for each course


    This criteria must be met for each of the five courses in the learning path.

Contact Us

1-844-532-7688

( Toll Free )

Program Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

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Learning Path

  • Course 1Online Classroom Flexi Pass

    Data Science Certification Training - R Programming

    Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.

    Read More
    Classroom Schedule Weekday class starting 3rd Apr
    Course Content
    GO TO COURSE PAGE
  • Course 2Online Classroom Flexi Pass

    Big Data Hadoop and Spark Developer

    Switch career on Big Data Hadoop and Spark with Simplilearn's online training course on Big Data Hadoop. Master Big Data and Hadoop Ecosystem tools, such as HDFS, YARN, MapReduce, Hive, HBase, Spark, Flume, Sqoop, Hadoop Frameworks, Spark SQL and more concepts of Big Data processing life cycle. Work on real-time projects in Human Resource, Stock Exchange, BFSI, Retail & Payments and master concepts of Big Data Hadoop. This course also prepares you for Cloudera’s CCA175 Big Data certification.

    Read More
    Classroom Schedule Weekend class starting 4th Apr
    Course Content
    GO TO COURSE PAGE
  • Course 3Online Classroom Flexi Pass

    Tableau Desktop 10 Qualified Associate Training

    This Tableau certification course helps you master Tableau Desktop 10, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics by learning Tableau and how to best use this training in your work.

    Read More
    Classroom Schedule Weekday class starting 10th Apr
    Course Content
    GO TO COURSE PAGE
  • Course 4Online Classroom Flexi Pass

    Data Science with Python

    This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping, and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

    Read More
    Classroom Schedule Weekend class starting 4th Apr
    Course Content
    GO TO COURSE PAGE
  • Course 5Online Classroom Flexi Pass

    Machine Learning

    Simplilearn’s Machine Learning course will make you an expert in machine learning, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. You'll master machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for the role of a Machine Learning Engineer.

    Read More
    Classroom Schedule Weekend class starting 4th Apr
    Course Content
    GO TO COURSE PAGE

  • Master's Program Certificate

  • Electives

    Data Science with SAS Training

  • Electives

    Apache Spark and Scala

  • Electives

    MongoDB Developer and Administrator

  • Electives

    Apache Cassandra

  • Electives

    Apache Storm

  • Electives

    Apache Kafka

  • Electives

    Business Analytics with Excel

  • Electives

    Big Data and Hadoop Administrator

  • Electives

    Impala Training

Get Ahead with Simplilearn's Master Certificate

Earn your certificate

Our Masters program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.

Integrated program in Big Data and Data Science

Reviews

  • Rahul Modasia

    Rahul Modasia

    I am very impressed with the Data Science course curriculum and the quality of the trainers. The course material is very valuable, current and helped upgrade my skills. Thanks to Simplilearn, I have moved to a better role at a 35% pay hike, where I am currently developing a model for a breathing system.

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FAQs

  • What courses will be available for live instructor led online classes?

    Srl No Course Name Monthly number of online classes
    1 Data Scientist with R programming 4
    2 Big Data Hadoop and Spark Developer 7
    3 Tableau Desktop 10 Qualified Associate 2
    4 Data Science with Python 2
    5 Machine Learning 1

    Electives:
     
    Srl No. Course Name Monthly number of online classes
    1 Data Science with SAS Training 2
    2 Apache Spark and Scala 1
    3 MongoDB Developer and Administrator 1
    4 Big Data and Hadoop Administrator 2

  • How do I enroll in the master’s program?

    You can enroll for this program on our website and make an online payment using any of the following options: 
    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal 
    Once payment is received you will automatically receive a payment receipt and access information via email.

  • What can I expect from the master’s program?

    You will gain access to e-learning content for all courses included in the learning path, exclusive forums moderated by faculty and industry experts, and monthly mentoring sessions by faculty and industry experts. Upon completing the program requirements, you will receive the Master’s certification for the Integrated Program in Big Data and Data Science.

  • Where and how can I access the e-learning content? Are there any limitations?

    Once you register for a course by paying the course fee, you will have 24/7 access to the e-learning content on our website. An automated course purchase confirmation email will guide you through the process.

  • I am not able to access the online courses. Whom should I contact?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support.

  • Do you provide a money-back guarantee?

    Yes. We provide a seven-day money-back guarantee for our master’s programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.